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Customer Relationship Management (CRM)
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Documents related to » creation of an allergy or precautions list based on initial and ongoing assessment data


A Road Map to Data Migration Success
Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project

creation of an allergy or precautions list based on initial and ongoing assessment data  schedules - Coordinating the creation of a data governance strategy and team Business users (data experts) - Identifying and validating business needs - Analyzing target and source systems - Assessing data quality - Testing - Assessing data mapping and business rules for data transformation Business or data analyst - Infrastructure support, including database sizing, optimization, and life cycle management. Works closely with the database analyst. - Data support, including data analysis, data quality Read More...
The Value of Big Data
As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity

creation of an allergy or precautions list based on initial and ongoing assessment data  Value of Big Data As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value. Read More...
Managing Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses
To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if

creation of an allergy or precautions list based on initial and ongoing assessment data  Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if managing IT is not your core competence, what are your options? A managed service provider (MSP) can help. Learn about the benefits of outsourcing data center management, and make sure your crucial business applications are always available Read More...
Collaboration 2.0: Taking Collaboration to the Next Level: From the E-mail and Document-centric World of ''Enterprise 1.0'' to the People-Centric World of Enterprise 2.0
Most business collaboration continues to be conducted via e-mail and shared folders, but forward-looking organizations are increasingly considering socially

creation of an allergy or precautions list based on initial and ongoing assessment data  2.0: Taking Collaboration to the Next Level: From the E-mail and Document-centric World of ''Enterprise 1.0'' to the People-Centric World of Enterprise 2.0 Most business collaboration continues to be conducted via e-mail and shared folders, but forward-looking organizations are increasingly considering socially oriented and real-time collaboration solutions to instantly and seamlessly increase productivity between employees, suppliers, customers, and stakeholders. This white paper discusses new Read More...
State of the Art in TCO: Managing the Total Cost of Ownership
Total cost of ownership (TCO) is one of the most difficult metrics to benchmark. Even when using the clearest of metrics, companies often obtain inadequate

creation of an allergy or precautions list based on initial and ongoing assessment data  of the Art in TCO: Managing the Total Cost of Ownership Total cost of ownership (TCO) is one of the most difficult metrics to benchmark. Even when using the clearest of metrics, companies often obtain inadequate results. Instead of thinking solely about how to calculate and reduce TCO, companies should think about how to manage TCO from a business perspective, in order to leverage solid, results-oriented decisions about IT solutions. Read More...
Distilling Data: The Importance of Data Quality in Business Intelligence
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence

creation of an allergy or precautions list based on initial and ongoing assessment data  Data: The Importance of Data Quality in Business Intelligence Originally Published - October 20, 2008 The zeal to get as much business data to the user as soon as possible often prevails over the establishment of processes that control the quality of data. Low data quality standards can lead to bad business decisions and missed opportunities. Even with a data warehouse that is well designed and equipped with the best tools for business intelligence (BI), users will encounter inefficiency and frus Read More...
Optimizing Gross Margin over Continously Cleansed Data
Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards

creation of an allergy or precautions list based on initial and ongoing assessment data  Gross Margin over Continously Cleansed Data Optimizing Gross Margin over Continously Cleansed Data If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Advanced functionality to manage costs, sell prices, promotions, discounts, chargebacks, and other key attributes while optimizing gross profits. Source : epaCUBE Resources Related to Optimizing Gross Margin over Continously Cleansed Data : Data cleansing (Wikipedia) Gross margin (W Read More...
The Future of Talent Management: Underlying Drivers of Change
The next generation of talent management practices and solutions will largely be driven by economic evolution, demographic changes, and technology advancements.

creation of an allergy or precautions list based on initial and ongoing assessment data  Future of Talent Management: Underlying Drivers of Change The next generation of talent management practices and solutions will largely be driven by economic evolution, demographic changes, and technology advancements. These factors are dramatically influencing the way people work, the way companies are organized, and the way talent is managed. This paper explores how current business and talent management processes and technology must evolve in order to effectively deliver business value in the next 5 Read More...
Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management
Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in

creation of an allergy or precautions list based on initial and ongoing assessment data  Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses Read More...
Oracle Database 11g for Data Warehousing and Business Intelligence
Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and

creation of an allergy or precautions list based on initial and ongoing assessment data  Database 11g for Data Warehousing and Business Intelligence Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and data-quality. Get an overview of Oracle Database 11g’s capabilities for data warehousing, and learn how Oracle-based BI and data warehouse systems can integrate information, perform fast queries, scale to very large data volumes, and analyze any data. Read More...
Six Steps to Manage Data Quality with SQL Server Integration Services
Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business

creation of an allergy or precautions list based on initial and ongoing assessment data  Steps to Manage Data Quality with SQL Server Integration Services Melissa Data''s Data Quality Suite operates like a data quality firewall '' instantly verifying, cleaning, and standardizing your contact data at point of entry, before it enters your database. Source : Melissa Data Resources Related to Six Steps to Manage Data Quality with SQL Server Integration Services : Data quality (Wikipedia) Six Steps to Manage Data Quality with SQL Server Integration Services Data Quality is also known as : Read More...
Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio
Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the

creation of an allergy or precautions list based on initial and ongoing assessment data  with overhead of cube creation—saving the company time and money. 6.    What is your take on the evolution of the data warehouse? What are the main challenges companies still have to face in doing big data management and analysis? Hadoop seems to becoming the de facto technology for “Big Data” processing. While the advantages may be clear (no license fees, open source, etc.), the barriers to entry can be large. Organizations considering Hadoop must realize that to implement a Hadoop environment Read More...
Data Masking: Strengthening Data Privacy and Security
Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating

creation of an allergy or precautions list based on initial and ongoing assessment data   Read More...
Informatica PowerCenter 5 Enables Enterprise Data Integration
Informatica Corporation’s Informatica PowerCenter 5 is a platform for integrating data to be deployed in e-Business applications, analytic applications and data

creation of an allergy or precautions list based on initial and ongoing assessment data  PowerCenter 5 Enables Enterprise Data Integration Informatica PowerCenter 5 Enables Enterprise Data Integration M. Reed - April 5, 2001 Event Summary Informatica Corporation (NASDAQ: INFA), a provider of e-Business analytic software, has announced the availability of Informatica PowerCenter 5 , an enterprise data integration platform for the deployment and management of analytic applications and data warehouses. The vendor states that the Informatica PowerCenter 5 suite is designed to be a Read More...
Next-generation Data Auditing for Data Breach Protection and Risk Mitigation
Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation

creation of an allergy or precautions list based on initial and ongoing assessment data  generation Data Auditing for Data Breach Protection and Risk Mitigation Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system. Read More...

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